Abstract
There are abundance of transcripts that code for no particular protein and that remain functionally uncharacterized. Some of these transcripts may have novel functions while others might be junk transcripts. Unfortunately, the experimental validation of such transcripts to find functional non-coding RNA candidates is very costly. Therefore, our primary interest is to computationally mine candidate functional transcripts from a pool of uncharacterized transcripts. We introduce fRNAdb: a novel database service that hosts a large collection of non-coding transcripts including annotated/non-annotated sequences from the H-inv database, NONCODE and RNAdb. A set of computational analyses have been performed on the included sequences. These analyses include RNA secondary structure motif discovery, EST support evaluation, cis-regulatory element search, protein homology search, etc. fRNAdb provides an efficient interface to help users filter out particular transcripts under their own criteria to sort out functional RNA candidates. fRNAdb is available at http://www.ncrna.org/
MeSH Terms
Base Sequence
Databases, Nucleic Acid
Genomics
Internet
MicroRNAs/physiology
RNA, Messenger/chemistry
RNA, Untranslated/chemistry,physiology
User-Computer Interface
Chemicals
MicroRNAs
RNA, Messenger
RNA, Untranslated
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Kin Taishin
Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology (AIST) Aomi 2-42, Koto-ku, Tokyo 135-0064, Japan. kin-taushin@aist.go.jp
Yamada Kouichirou
Terai Goro
Okida Hiroaki
Yoshinari Yasuhiko
Ono Yukiteru
Kojima Aya
Kimura Yuki
Komori Takashi
Asai Kiyoshi
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